Conferences:
Almost Optimal Fully Dynamic k-Center Clustering with Recourse
S. Bhattacharya, M. Costa, E. Farokhnejad, S. Lattanzi, N. Parotsidis
ICML 2025
Algorithms and Hardness for Active Learning on Graphs
V. Cohen-Addad, S. Lattanzi, S. Meierhans
ICML 2025
Metric Embeddings Beyond Bi-Lipschitz Distortion via Sherali-Adams
A. Bakshi, V. Cohen-Addad, S. Hopkins, R. Jayaram, S. Lattanzi
COLT 2025 [pdf]
Approximating Dasgupta Cost in Sublinear Time from a Few Random Seeds
M. Kapralov, A. Kumar, S. Lattanzi, A. Mousavifar, W. Wrzos-Kaminska
ICALP 2025 [pdf]
Almost Optimal PAC Learning for k-Means
V. Cohen-Addad, S. Lattanzi, C. Schwiegelshohn
STOC 2025 [pdf]
The Cost of Consistency: Submodular Maximization with Constant Recourse
P. Duetting, F. Fusco, S. Lattanzi, A. Norouzi Fard, O. Svensson, M. Zadimoghaddam
STOC 2025 [pdf]
Data-Driven Solution Portfolios
M. Drygala, S. Lattanzi, A. Maggiori, M. Stouras, O. Svensson, S. Vassilvitskii
ITCS 2025 [pdf]
Almost Tight Bounds for Differentially Private Densest Subgraph
M. Dinitz, S. Kale, S. Lattanzi and S. Vassilvitskii
SODA 2025 [pdf]
Fully Dynamic k-clustering with Fast Update Time and Small Recourse
S. Bhattacharya, M. Costa, N. Garg, S. Lattanzi and N. Parotsidis
FOCS 2024 [pdf]
Resilient K-Clustering
S. Ahmadian, M. Bateni, H. Esfandiari, S. Lattanzi, M. Monemizadeh and A. Norouzi-Fard
KDD 2024 [pdf]
Multi-View Stochastic Block Models
V. Cohen-Addad, T. D'Orsi, S. Lattanzi and R. Nasser
ICML 2024 [pdf]
Dynamic Correlation Clustering in Sublinear Update Time
V. Cohen-Addad, S. Lattanzi, A. Maggiori and N. Parotsidis
ICML 2024 [pdf]
Consistent Submodular Maximization
P. Dütting, F. Fusco, S. Lattanzi, A. Norouzi-Fard, M. Zadimoghaddam
ICML 2024 [pdf]
A Scalable Algorithm for Individually Fair K-means Clustering
M. Bateni, V. Cohen-Addad, A. Epasto, S. Lattanzi
AISTATS 2024 [pdf]
Multi-Swap k-Means++
L. Beretta, V. Cohen-Addad, S. Lattanzi, N. Parotsidis
NeurIPS 2023 [pdf]
Fully Dynamic k-clustering in Õ(k) Update Time
S. Bhattacharya, M. Costa, S. Lattanzi, N. Parotsidis
NeurIPS 2023 [pdf]
Fully Dynamic Submodular Maximization over Matroids
P. Dütting, F. Fusco, S. Lattanzi, A. Norouzi-Fard, M. Zadimoghaddam
ICML 2023 [pdf]
Speeding Up Bellman Ford via Minimum Violation Permutations
S. Lattanzi, O. Svensson, S. Vassilvitskii
ICML 2023 [pdf]
Learning Hierarchical Cluster Structure of Graphs in Sublinear Time
M. Kapralov, A. Kumar, S. Lattanzi and A. Mousavifar
SODA 2023 [pdf]
Efficient and Stable Fully Dynamic Facility Location
S. Bhattacharya, S. Lattanzi and N. Parotsidis
NeurIPS 2022 [pdf]
Active Learning of Classifiers with Label and Seed Queries
M. Bressan, N. Cesa-Bianchi, S. Lattanzi, A. Paudice and M. Thiessen
NeurIPS 2022 [pdf]
Near–Optimal Correlation Clustering with Privacy
V. Cohen-Addad, C. Fan, S. Lattanzi, S. Mitrović, A. Norouzi-Fard, N. Parotsidis and J. Tarnawski
NeurIPS 2022 [pdf]
Approximate Cluster Recovery from Noisy Labels
B. Gamlath, S. Lattanzi, A. Norouzi-Fard and O. Svensson
COLT 2022 [pdf]
Deletion Robust Submodular Maximization over Matroids
P. Duetting, F. Fusco, S. Lattanzi, A. Norouzi-Fard and M. Zadimoghaddam
ICML 2022 [pdf]
Online and Consistent Correlation Clustering
V. Cohen-Addad, S. Lattanzi, A. Maggiori and N. Parotsidis
ICML 2022 [pdf]
Scalable Differentially Private Clustering via Hierarchically Separated Trees
V. Cohen-Addad, A. Epasto, S. Lattanzi, V. Mirrokni, A. Munoz Medina, D. Saulpic, C. Schwiegelshohn and S. Vassilvitskii
KDD 2022 [pdf]
The Gibbs--Rand Model
F. Chierichetti, R. Kumar and S. Lattanzi
PODS 2022 [pdf]
Parallel and Efficient Hierarchical k-Median Clustering
V. Cohen-Addad, S. Lattanzi, A. Norouzi-Fard, C. Sohler and O. Svensson
NeurIPS 2021 [pdf]
Efficient and Local Parallel Random Walks
M. Kapralov, S. Lattanzi, N. Nouri and J. Tardos
NeurIPS 2021 [pdf]
Online Facility Location with Multiple Advice
M. Almanza, F. Chierichetti, S. Lattanzi, A. Panconesi and G. Re
NeurIPS 2021 [pdf]
Robust Online Correlation Clustering
S. Lattanzi, B. Moseley, S. Vassilvitskii, Y. Wang and R. Zhou
NeurIPS 2021 [pdf]
On Margin-Based Cluster Recovery with Oracle Queries
M. Bressan, N. Cesa-Bianchi, S. Lattanzi and A. Paudice
NeurIPS 2021 [pdf]
Exact Recovery of Clusters in Finite Metric Spaces using Oracle Queries
M. Bressan, N. Cesa-Bianchi, S. Lattanzi and A. Paudice
COLT 2021 [pdf]
Correlation Clustering in Constant Many Parallel Rounds
V. Cohen-Addad, S. Lattanzi, S. Mitrović, A. Norouzi-Fard, N. Parotsidis and J. Tarnawski
ICML 2021 [pdf]
Secretaries with Advice
P. Duetting, S. Lattanzi, R. Paes Leme, S. Vasilvistkii
EC 2021 [pdf]
Twin Peaks, a Model for Recurring Cascades
M. Almanza, S. Lattanzi, A. Panconesi and G. Re
TheWebConf 2021 [pdf]
Spectral Clustering Oracles in Sublinear Time
G. Gluch, M. Kapralov, S. Lattanzi, A. Mousavifar, C. Sohler
SODA 2021 [pdf]
Consistent k-Clustering for General Metrics
H. Fichtenberger, S. Lattanzi, A. Norouzi-Fard, O. Svensson
SODA 2021 [pdf]
Fully Dynamic Algorithm for Constrained Submodular Optimization
S. Lattanzi, S. Mitrović, A. Norouzi-Fard, J. Tarnawski, M. Zadimoghaddam
NeurIPS 2020 (Oral) [pdf]
Exact Recovery of Mangled Clusters with Same-Cluster Queries
M. Bressan, N. Cesa-Bianchi, S. Lattanzi, A. Paudice
NeurIPS 2020 (Oral) [pdf]
Sliding Window Algorithms for k-Clustering Problems
M. Borassi, A. Epasto, S. Lattanzi, S. Vassilvtiskii, M. Zadimoghaddam
NeurIPS 2020 [pdf]
Fast and Accurate k-means++ via Rejection Sampling
V. Cohen-Addad, S. Lattanzi, A. Norouzi-Fard, C. Sohler, O. Svensson
NeurIPS 2020 [pdf]
Online MAP Inference of Determinantal Point Processes
A. Bhaskara, A. Karbasi, S. Lattanzi, M. Zadimoghaddam
NeurIPS 2020 [pdf]
Online Scheduling via Learned Weights
S. Lattanzi, T. Lavastida, B. Moseley and S. Vassilvitskii
SODA 2020 [pdf]
Residual Based Sampling for Online Low Rank Approximation
A. Bhaskara, S. Lattanzi, S. Vassilvitskii and M. Zadimoghaddam
FOCS 2019 [pdf]
A Framework for Parallelizing Hierarchical Clustering Methods
K. Lu, T. Lavastida, S. Lattanzi and B. Moseley
ECML PKDD 2019 [pdf]
A Better k-means++ Algorithm via Local Search
S. Lattanzi and C. Sohler
ICML 2019 [pdf]
Improved Parallel Algorithms for Density-Based Network Clustering
M. Ghaffari, S. Lattanzi and S. Mitrovic
ICML 2019 [pdf]
Submodular Streaming in All Its Glory: Tight Approximation, Minimum Memory and Low Adaptive Complexity
A. Karbasi, E. Kazemi, , S. Lattanzi, M. Mitrovic and M. Zadimoghaddam
ICML 2019 [pdf]
Dynamic Algorithms for the Massively Parallel Computation Model
G. Italiano, S. Lattanzi, V. Mirrokni and N. Parotsidis
SPAA 2019 [pdf]
Better Sliding Windows Algorithms for Subadditive and Diversity Maximization
M. Borassi, A. Epasto, S. Lattanzi, S. Vassilvitskii and M. Zadimoghaddam
PODS 2019 [pdf]
Consistent Online Optimization: Convex and Submodular
M. R. Karimi, A. Krause, S. Lattanzi, and S. Vassilvitskii
AISTATS 2019 [pdf]
Matroids, Matching, and Fairness
F. Chierichetti, R. Kumar, S. Lattanzi and S. Vassilvitskii
AISTATS 2019 [pdf]
Top-k Lists: Models and Algorithms
F. Chierichetti, A. Dasgupta, S. Haddadan, R. Kumar, S. Lattanzi
NeurIPS 2018 [pdf]
Parallel and Streaming Algorithms for K-Core Decomposition
H. Esfandiari, S. Lattanzi and V. Mirrokni
ICML 2018 [pdf]
One-shot Coresets: The Case of K-Clustering
O. Bachem, M. Lučić and S. Lattanzi
AISTATS 2018 [pdf]
Non-Negative Sparse Regression and Column Subset Selection with \ell_1 Error
A. Bhaskara and S. Lattanzi
ITCS 2018 [pdf]
Fair Clustering Through Fairlets
F. Chierichetti, R. Kumar, S. Lattanzi and S. Vassilvitskii
NeurIPS 2017 [pdf]
Affinity Clustering: Hierarchical Clustering at Scale
M. Bateni, S. Behnezhad, M. Derakhshan, M. Hajiaghayi, R. Kiveris, S. Lattanzi and V. Mirrokni
NeurIPS 2017 [pdf]
Consistent k-clustering
S. Lattanzi and S. Vassilvitskii
ICML 2017 [pdf]
Algorithms for lp Low-Rank Approximation
F. Chierichetti, S. Gallapudi, R. Kumar, S. Lattanzi, R. Panigrahy and D. P. Woodruff
ICML 2017 [pdf]
Ego-splitting framework: from Non-Overalapping to Overalapping Clusters
A. Epasto, S. Lattanzi and R. Paes Lemme
KDD 2017 [pdf]
Submodular Optimization over Sliding Windows
A. Epasto, S. Lattanzi, S. Vassilvitskii and M. Zadimoghaddam
WWW 2017 [pdf]
Indexing Public-Private Graphs
A. Archer, S. Lattanzi, P. Likarish and S. Vassilvitskii
WWW 2017 [pdf]
Community Detection on Evolving Graphs
A. Anagnostopolous, J. Łącki, S. Lattanzi, S. Leonardi and M. Mahdian
NeurIPS 2016 [pdf]
Linking Users Across Domains with Location Data: Theory and Validation
C. Riederer, Y. Kim, N. Korula, S. Lattanzi and A. Chaintreau
WWW 2016 [pdf]
On Sampling Nodes in a Network
F. Chierichetti, A. Dasgupta, R. Kumar, S. Lattanzi and T. Sarlos
WWW 2016 [pdf]
Expander via Local Edge Flips
Z. Allen-Zhu, A. Bhaskara, S. Lattanzi, V. Mirrokni and L. Orecchia
SODA 2016 [pdf]
Efficient Algorithms for Public-Private Social Networks
A. Epasto, F. Chierichetti, R. Kumar, S. Lattanzi and V. Mirrokni
KDD 2015 (Best Paper Award) [pdf]
Efficient Densest Subgraph Computation in Evolving Graphs
A. Epasto, S. Lattanzi and M. Sozio
WWW 2015 [pdf]
The Power of Random Neighbors in Social Networks
S. Lattanzi and Y. Singer
WSDM 2015 [pdf]
On Learning Mixture Models for Permutations
F. Chierichetti, A. Dasgupta, R. Kumar and S. Lattanzi
ITCS 2015 [pdf]
Robust Hierarchical k-center clustering
S. Lattanzi, S. Leonardi, V. Mirrokni and I. Razenshteyn
ITCS 2015 [pdf]
Distributed Balanced Clustering via Mapping Coresets
M. Bateni, A. Bhaskara, S. Lattanzi and V. Mirrokni
NeurIPS 2014 [pdf]
Connected Components in MapReduce and Beyond
R. Kiveris, S. Lattanzi, V. Mirrokni, V. Rastogi and S. Vassilvitskii
SOCC 2014 [pdf]
Efficient computation of the Weighted Clustering Coefficient
S. Lattanzi and S. Leonardi
WAW 2014 [pdf]
On Reconstructing a Hidden Permutation
F. Chierichetti, A. Dasgupta, R. Kumar and S. Lattanzi
RANDOM 2014 [pdf]
Filter & Follow: Do Social Media Encourage Efficient News Curation?
A. May, A. Chaintreau, N. Korula and S. Lattanzi
SIGMETRICS 2014 [pdf]
Reduce and Aggregate: Similarity Ranking in Multi-Categorical Bipartite Graphs.
A. Epasto, J. Feldman, S. Lattanzi, S. Leonardi and V. Mirrokni
WWW 2014 [pdf]
Learning Entangled Single-Sample Gaussians.
F. Chierichetti, A. Dasgupta, R. Kumar and S. Lattanzi
SODA 2014 [pdf]
A Local Algorithm for Finding Well-Connected Clusters.
Z. A. Zhu, S. Lattanzi and V. Mirrokni
ICML 2013 [pdf]
Sok: The Evolution of Sybil Defense via Social Networks.
L. Alvisi, A. Clement, A. Epasto, S. Lattanzi and A. Panconesi
S&P 2013 [pdf]
Arrival and departure in Social Networks.
S. Wu, A. Das Sarma, A. Fabrikant, S. Lattanzi and A. Tomkins
WSDM 2013 [pdf]
Hiring a Secretary from a Poset.
R. Kumar, S. Lattanzi, S. Vassilvitskii and A. Vattani
EC 2011 [pdf]
Filtering: A Method for Solving Graph Problems in MapReduce.
S. Lattanzi, B. Moseley, S. Suri and S. Vassilvitskii
SPAA 2011 [pdf]
Milgram-routing in social networks.
S. Lattanzi, A. Panconesi and D. Sivakumar
WWW 2011 [pdf]
An Algorithmic Treatment of Strong Queries.
R. Kumar, S. Lattanzi and P. Raghavan
WSDM 2011 [pdf]
Almost tight bounds for rumor spreading with conductance.
F. Chierichetti, S. Lattanzi and A. Panconesi
STOC 2010 [pdf]
Rumour spreading and graph conductance.
F. Chierichetti, S. Lattanzi and A. Panconesi
SODA 2010 [pdf]
Models for the Compressible Web.
F. Chierichetti, R. Kumar, S. Lattanzi, A. Panconesi and P. Raghavan
FOCS 2009 [pdf]
Rumor Spreading in Social Networks.
F. Chierichetti, S. Lattanzi and A. Panconesi
ICALP 2009 [pdf]
On compressing social networks.
F. Chierichetti, R. Kumar, S. Lattanzi, M. Mitzenmacher, A. Panconesi and P. Raghavan
KDD 2009 [pdf]
Affiliation Networks.
S. Lattanzi and D. Sivakumar
STOC 2009 [pdf]
On placing skips optimally in expectation.
F. Chierichetti, S. Lattanzi, F. Mari and A. Panconesi
WSDM 2008 [pdf]
Journals:
Deletion Robust Non-Monotone Submodular Maximization over Matroids
P. Duetting, F. Fusco, S. Lattanzi, A. Norouzi Fard, M. Zadimoghaddam
Journal of Machine Learning Research 2025 [pdf]
Fully Dynamic Submodular Maximization over Matroids
P. Duetting, F. Fusco, S. Lattanzi, A. Norouzi Fard, M. Zadimoghaddam
ACM Trans. Algorithms 2025 [pdf]
Fully Dynamic k-Center Clustering with Outliers
T.-H. H. Chan, S. Lattanzi, M. Sozio, B. Wang
Algorithmica 2024 [pdf]
Margin-Based Active Learning of Classifiers
M. Bressan, N. Cesa-Bianchi, S. Lattanzi, A. Paudice
Journal of Machine Learning Research 2024 [pdf]
Secretaries with Advice
P. Dütting, S. Lattanzi, R. Paes Leme, S. Vassilvitskii
Mathematics of Operations Research 2024 [pdf]
Massively Parallel Computation: Algorithms and Applications
S. Im, R. Kumar, S. Lattanzi, B. Moseley and S. Vassilvitskii
Foundations and Trends in Optimization 2023 [pdf]
On Mean Estimation for Heteroscedastic Random Variables
L. Devroye, S. Lattanzi, G. Lugosi, N. Zhivotovskiy
Annales de l’Institut Henri Poincaré 2021 [pdf]
Rumor spreading and conductance
F. Chierichetti, G. Giakkoupis, S. Lattanzi and A. Panconesi
Journal of the ACM 2018 [pdf]
Ego-net community Mining Applied to Friend Suggestion
A. Epasto, S. Lattanzi, V. Mirrokni, I. Sebe, A. Taei and S. Verma
PVLDB 2016 [pdf]
Efficient Computation of the Weighted Clustering Coefficient
S. Lattanzi and S. Leonardi
Internet Mathematics 2016 [pdf]
An efficient reconciliation algorithm for social networks.
N. Korula and S. Lattanzi.
PVLDB 2014 [pdf]
Communities, Random Walks, and Social Sybil Defense
L. Alvisi, A. Clement, A. Epasto, S. Lattanzi and A. Panconesi
Internet Mathematics 2014 [pdf]
Models for the Compressible Web
F. Chierichetti, R. Kumar, S. Lattanzi, A. Panconesi and P. Raghavan
SIAM Journal on Computing 2013 [pdf]
Rumor Spreading in Social Networks
F. Chierichetti, S. Lattanzi and A. Panconesi
Theoretical Computer Science, December 2010 [pdf]
I served as General Chair for:
WSDM 2024
I also served as PC/senior PC/AC member for several conferences:
FOCS: 2021
SODA: 2018
NeurIPS: 2025(AC),2024(AC),2023(AC),2022(AC), 2021(AC), 2020(AC), 2019, 2018, 2017
ICML: 2025(AC),2024(AC),2023(AC),2022(AC), 2021(AC), 2020, 2019, 2018, 2017, 2016
KDD: 2025(AC),2024(AC),2021, 2020, 2019, 2018, 2017, 2016, 2015, 2011
ICLR: 2025(AC),2024(AC),2023(AC),2022(AC), 2021(AC)
WWW: 2021(sen.), 2019(sen.), 2018(sen.), 2017, 2016, 2015, 2014, 2013, 2012, 2011
ICALP: 2025(A), 2021(A), 2019(C)
ESA: 2019(D&A), 2018(E&A)
COLT: 2025
EC: 2018
SPAA: 2017
DISC: 2018
AAAI: 2018
AISTATS: 2018, 2017
WSDM: 2017, 2016, 2015, 2014(senior), 2013(senior), 2012
ECML-PKDD: 2018, 2017, 2016, 2015, 2014, 2013, 2010
HALG: 2022
WAW: 2018, 2017, 2016, 2015, 2011
ASONAM: 2016, 2015
ICSWM: 2015, 2014
CIKM: 2015, 2014
WebSci: 2015, 2014
ICDM: 2016(AC), 2015, 2014
IPDPS: 2017, 2015
ISC: 2013
COSN: 2013
EWSSN: 2013
SNOW: 2013
LSNA: 2013
MOD: 2015
I also served as associated editor for: KAIS(2017-2018)
I also served as guest editor for: TOPC